Big data and Language 1 (Coursera)

Big data and Language 1 (Coursera)

In this course, students will understand characteristics of language through big data. Students will learn how to collect and analyze big data, and find linguistic features from the data. A number of approaches to the linguistic analysis of written and spoken texts will be discussed.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

The class will consist of lecture videos which are approximately 1 hour and a quiz for each week. There will be a final project which requires students to conduct research on text data and language.

Syllabus

WEEK 1: Introduction to Big Data and Language
WEEK 2: Spoken and Written Data
WEEK 3: Corpus and Register
WEEK 4: Parts of Speech

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Infonomics II: Business Information Management and Measurement (Coursera) Coursera
University of Illinois at Urbana-Champaign

Infonomics II: Business Information Management and Measurement (Coursera)

Even decades into the Information Age, accounting practices yet fail to recognize the financial value of information. Moreover, traditional asset management practices fail to recognize information as an asset to be managed with earnest discipline. This has led to a business culture of complacence, and the inability for most organizations to fully leverage available information assets. This second course in the two-part Infonomics series explores how and why to adapt well-honed asset management principles and practices to information, and how to apply accepted and new valuation models to gauge information’s potential and realized economic benefits.

Sep 14th 2026
4 Weeks
The Importance of Listening (Coursera) Coursera
Northwestern University

The Importance of Listening (Coursera)

In this second MOOC in the Social Marketing Specialization - "The Importance of Listening" - you will go deep into the Big Data of social and gain a more complete picture of what can be learned from interactions on social sites. You will be amazed at just how much information can be extracted from a single post, picture, or video.

Aug 31st 2026
4 Weeks
Big Data Modeling and Management Systems (Coursera) Coursera
University of California, San Diego

Big Data Modeling and Management Systems (Coursera)

Once you’ve identified a big data issue to analyze, how do you collect, store and organize your data using Big Data solutions? In this course, you will experience various data genres and management tools appropriate for each. You will be able to describe the reasons behind the evolving plethora of new big data platforms from the perspective of big data management systems and analytical tools.

Aug 31st 2026
5-12 Weeks
Security and Privacy for Big Data - Part 1 (Coursera) Coursera
EIT Digital

Security and Privacy for Big Data - Part 1 (Coursera)

This course sensitizes regarding security in Big Data environments. You will discover cryptographic principles, mechanisms to manage access controls in your Big Data system. By the end of the course, you will be ready to plan your next Big Data project successfully, ensuring that all security related issues are under control. You will look at decent-sized big data projects with security-skilled eyes, being able to recognize dangers. This will allow you to improve your systems to a grown and sustainable level.

Sep 7th 2026
1 Week
Deploying Machine Learning Models (Coursera) Coursera
University of California, San Diego

Deploying Machine Learning Models (Coursera)

In this course we will learn about Recommender Systems (which we will study for the Capstone project), and also look at deployment issues for data products. By the end of this course, you should be able to implement a working recommender system (e.g. to predict ratings, or generate lists of related products), and you should understand the tools and techniques required to deploy such a working system on real-world, large-scale datasets.

Aug 31st 2026
4 Weeks
Excel Power Tools for Data Analysis (Coursera) Coursera
Macquarie University

Excel Power Tools for Data Analysis (Coursera)

Welcome to Excel Power Tools for Data Analysis. In this four-week course, we introduce Power Query, Power Pivot and Power BI, three power tools for transforming, analysing and presenting data. Excel's ease and flexibility have long made it a tool of choice for doing data analysis, but it does have some inherent limitations: for one, truly "big" data simply does not fit in a spreadsheet and for another, the process of importing and cleaning data can be a repetitive, time-consuming and error-prone.

Aug 31st 2026
4 Weeks
Getting Started with CyberGIS (Coursera) Coursera
University of Illinois at Urbana-Champaign

Getting Started with CyberGIS (Coursera)

This course is intended to introduce students to CyberGIS—Geospatial Information Science and Systems (GIS)—based on advanced cyberinfrastructure as well as the state of the art in high-performance computing, big data, and cloud computing in the context of geospatial data science. Emphasis is placed on learning the cutting-edge advances of cyberGIS and its underlying geospatial data science principles.

Aug 31st 2026
4 Weeks
Think Again I: How to Understand Arguments (Coursera) Coursera
Duke University

Think Again I: How to Understand Arguments (Coursera)

In this course, you will learn what an argument is. The definition of argument will enable you to identify when speakers are giving arguments and when they are not. Next, you will learn how to break an argument into its essential parts, how to put them in order to reveal their connections, and how to fill in gaps in an argument by adding suppressed premises. By the end of this course, you will be better able to understand and appreciate arguments that you and other people present.

Sep 14th 2026
4 Weeks
Introduction to Big Data with Spark and Hadoop (Coursera) Coursera
IBM

Introduction to Big Data with Spark and Hadoop (Coursera)

Bernard Marr defines Big Data as the digital trace that we are generating in this digital era. In this course, you will learn about the characteristics of Big Data and its application in Big Data Analytics. You will gain an understanding about the features, benefits, limitations, and applications of some of the Big Data processing tools. You’ll explore how Hadoop and Hive help leverage the benefits of Big Data while overcoming some of the challenges it poses.

Aug 31st 2026
5-12 Weeks
Graph Analytics for Big Data (Coursera) Coursera
University of California, San Diego

Graph Analytics for Big Data (Coursera)

Want to understand your data network structure and how it changes under different conditions? Curious to know how to identify closely interacting clusters within a graph? Have you heard of the fast-growing area of graph analytics and want to learn more? This course gives you a broad overview of the field of graph analytics so you can learn new ways to model, store, retrieve and analyze graph-structured data.

Aug 31st 2026
5-12 Weeks
Big Data Analysis with Scala and Spark (Scala 2 version) (Coursera) Coursera
École Polytechnique Fédérale de Lausanne

Big Data Analysis with Scala and Spark (Scala 2 version) (Coursera)

Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distributed collections framework written in Scala. In this course, we'll see how the data parallel paradigm can be extended to the distributed case, using Spark throughout.

Sep 14th 2026
4 Weeks